#eval=params$runcodebooks

codebook(d$eas_14, survey_repetition = "single", metadata_table = TRUE) #Gerhard: this could also create an html; or make this as a separate markdown. It takes a long time to run... so maybe don't do it here

Metadata

Description

Dataset name: d$eas_14

The dataset has N=1602 rows and 53 columns. 17 rows have no missing values on any column.

Metadata for search engines
  • Date published: 2021-03-12
x
id
referrer_url
heard_ea
is_ea
metaethics
cause_import_poverty
cause_import_environmentalism
cause_import_animals
cause_import_rationality
cause_import_politics
cause_import_ai
cause_import_xrisk
cause_import_non_ai_far_future
cause_import_cause_prioritization
cause_import_meta
cause_import_other
diet
first_heard_EA
invovled_personal_contact
involved_80K
involved_TLYCS
involved_lesswrong
involved_GWWC
involved_givewell
involved_friends
involved_online_ea
involved_local_EA
friendcount
donate_2013_c
income_2013_c
donate_80K
donate_amf
donate_ace
donate_cea
donate_cfar
donate_dtw
donate_gd
donate_gw
donate_gwwc
donate_thl
donate_leverage
donate_miri
donate_phc
donate_sci
donate_vo
career_path
age
gender
student
country
city
religion
ea_id

#Variables

id

Distribution

Distribution of values for id

Distribution of values for id

0 missing values.

Summary statistics

name data_type n_missing complete_rate min median max mean sd hist label
id numeric 0 1 1418 2224 3029 2225 466 ▇▇▇▇▇ NA

referrer_url

Distribution

Distribution of values for referrer_url

Distribution of values for referrer_url

688 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
referrer_url character 688 0.57 37 0 24 113 0 NA

heard_ea

Distribution

Distribution of values for heard_ea

Distribution of values for heard_ea

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
heard_ea character 0 1 3 0 2 3 0 NA

is_ea

Distribution

Distribution of values for is_ea

Distribution of values for is_ea

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
is_ea character 0 1 3 0 2 3 0 NA

metaethics

Distribution

Distribution of values for metaethics

Distribution of values for metaethics

1204 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
metaethics character 1204 0.25 5 0 5 44 0 NA

cause_import_poverty

Distribution

Distribution of values for cause_import_poverty

Distribution of values for cause_import_poverty

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_poverty character 0 1 3 0 2 3 0 NA

cause_import_environmentalism

Distribution

Distribution of values for cause_import_environmentalism

Distribution of values for cause_import_environmentalism

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_environmentalism character 0 1 3 0 2 3 0 NA

cause_import_animals

Distribution

Distribution of values for cause_import_animals

Distribution of values for cause_import_animals

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_animals character 0 1 3 0 2 3 0 NA

cause_import_rationality

Distribution

Distribution of values for cause_import_rationality

Distribution of values for cause_import_rationality

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_rationality character 0 1 3 0 2 3 0 NA

cause_import_politics

Distribution

Distribution of values for cause_import_politics

Distribution of values for cause_import_politics

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_politics character 0 1 3 0 2 3 0 NA

cause_import_ai

Distribution

Distribution of values for cause_import_ai

Distribution of values for cause_import_ai

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_ai character 0 1 3 0 2 3 0 NA

cause_import_xrisk

Distribution

Distribution of values for cause_import_xrisk

Distribution of values for cause_import_xrisk

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_xrisk character 0 1 3 0 2 3 0 NA

cause_import_non_ai_far_future

Distribution

Distribution of values for cause_import_non_ai_far_future

Distribution of values for cause_import_non_ai_far_future

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_non_ai_far_future character 0 1 3 0 2 3 0 NA

cause_import_cause_prioritization

Distribution

Distribution of values for cause_import_cause_prioritization

Distribution of values for cause_import_cause_prioritization

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_cause_prioritization character 0 1 3 0 2 3 0 NA

cause_import_meta

Distribution

Distribution of values for cause_import_meta

Distribution of values for cause_import_meta

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_meta character 0 1 3 0 2 3 0 NA

cause_import_other

Distribution

Distribution of values for cause_import_other

Distribution of values for cause_import_other

1548 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
cause_import_other character 1548 0.03 50 0 9 90 0 NA

diet

Distribution

Distribution of values for diet

Distribution of values for diet

1192 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
diet character 1192 0.26 6 0 5 33 0 NA

first_heard_EA

Distribution

Distribution of values for first_heard_EA

Distribution of values for first_heard_EA

1320 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
first_heard_EA character 1320 0.18 10 0 5 23 0 NA

invovled_personal_contact

Distribution

Distribution of values for invovled_personal_contact

Distribution of values for invovled_personal_contact

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
invovled_personal_contact character 0 1 3 0 2 3 0 NA

involved_80K

Distribution

Distribution of values for involved_80K

Distribution of values for involved_80K

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
involved_80K character 0 1 3 0 2 3 0 NA

involved_TLYCS

Distribution

Distribution of values for involved_TLYCS

Distribution of values for involved_TLYCS

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
involved_TLYCS character 0 1 3 0 2 3 0 NA

involved_lesswrong

Distribution

Distribution of values for involved_lesswrong

Distribution of values for involved_lesswrong

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
involved_lesswrong character 0 1 3 0 2 3 0 NA

involved_GWWC

Distribution

Distribution of values for involved_GWWC

Distribution of values for involved_GWWC

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
involved_GWWC character 0 1 3 0 2 3 0 NA

involved_givewell

Distribution

Distribution of values for involved_givewell

Distribution of values for involved_givewell

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
involved_givewell character 0 1 3 0 2 3 0 NA

involved_friends

Distribution

Distribution of values for involved_friends

Distribution of values for involved_friends

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
involved_friends character 0 1 3 0 2 3 0 NA

involved_online_ea

Distribution

Distribution of values for involved_online_ea

Distribution of values for involved_online_ea

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
involved_online_ea character 0 1 3 0 2 3 0 NA

involved_local_EA

Distribution

Distribution of values for involved_local_EA

Distribution of values for involved_local_EA

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
involved_local_EA character 0 1 3 0 2 3 0 NA

friendcount

Distribution

Distribution of values for friendcount

Distribution of values for friendcount

1324 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
friendcount character 1324 0.17 4 0 11 15 0 NA

income_2013_c

Distribution

Distribution of values for income_2013_c

Distribution of values for income_2013_c

1376 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
income_2013_c character 1376 0.14 172 0 1 56 0 NA

career_path

Distribution

Distribution of values for career_path

Distribution of values for career_path

1343 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
career_path character 1343 0.16 5 0 5 30 0 NA

age

Distribution

Distribution of values for age

Distribution of values for age

1330 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
age character 1330 0.17 45 0 2 12 0 NA

gender

Distribution

Distribution of values for gender

Distribution of values for gender

1329 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
gender character 1329 0.17 3 0 4 6 0 NA

student

Distribution

Distribution of values for student

Distribution of values for student

0 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
student character 0 1 3 0 2 3 0 NA

country

Distribution

Distribution of values for country

Distribution of values for country

1321 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
country character 1321 0.18 30 0 4 19 0 NA

city

Distribution

Distribution of values for city

Distribution of values for city

1357 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
city character 1357 0.15 159 0 2 37 0 NA

religion

Distribution

Distribution of values for religion

Distribution of values for religion

1329 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
religion character 1329 0.17 5 0 5 34 0 NA

ea_id

Distribution

Distribution of values for ea_id

Distribution of values for ea_id

1377 missing values.

Summary statistics

name data_type n_missing complete_rate n_unique empty min max whitespace label
ea_id character 1377 0.14 220 0 32 32 0 NA

Missingness report

descriptionreferrer_urldietmetaethicsfirst_heard_EAcountryfriendcountgenderreligionagecareer_pathcitydonate_2013_cincome_2013_cea_idcause_import_othervar_missn_miss
Missing values per variable6881.19e+031.2e+031.32e+031.32e+031.32e+031.33e+031.33e+031.33e+031.34e+031.36e+031.37e+031.38e+031.38e+031.55e+031.94e+041.94e+04
Missing values in 15 variables00       0      0       0       0       0       0       0       0       0       0       0       0       0       15       679       
Missing values in 14 variables10       0      0       0       0       0       0       0       0       0       0       0       0       0       14       499       
Missing values in 1 variables11       1      1       1       1       1       1       1       1       1       1       1       1       0       1       103       
Missing values in 12 variables11       1      0       0       0       0       0       0       0       0       0       0       0       0       12       60       
Missing values in 2 variables11       1      1       1       1       1       1       1       1       1       1       1       0       0       2       21       
Missing values in 0 variables11       1      1       1       1       1       1       1       1       1       1       1       1       1       0       17       
Missing values in 9 variables11       1      1       0       1       0       0       0       0       0       0       0       1       0       9       17       
103 other, less frequent patterns10095       86      64       76       61       68       69       67       59       53       51       49       51       24       572       206       

Codebook table

JSON-LD metadata

The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.

{
  "name": "d$eas_14",
  "datePublished": "2021-03-12",
  "description": "The dataset has N=1602 rows and 53 columns.\n17 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name                              |label | n_missing|\n|:---------------------------------|:-----|---------:|\n|id                                |NA    |         0|\n|referrer_url                      |NA    |       688|\n|heard_ea                          |NA    |         0|\n|is_ea                             |NA    |         0|\n|metaethics                        |NA    |      1204|\n|cause_import_poverty              |NA    |         0|\n|cause_import_environmentalism     |NA    |         0|\n|cause_import_animals              |NA    |         0|\n|cause_import_rationality          |NA    |         0|\n|cause_import_politics             |NA    |         0|\n|cause_import_ai                   |NA    |         0|\n|cause_import_xrisk                |NA    |         0|\n|cause_import_non_ai_far_future    |NA    |         0|\n|cause_import_cause_prioritization |NA    |         0|\n|cause_import_meta                 |NA    |         0|\n|cause_import_other                |NA    |      1548|\n|diet                              |NA    |      1192|\n|first_heard_EA                    |NA    |      1320|\n|invovled_personal_contact         |NA    |         0|\n|involved_80K                      |NA    |         0|\n|involved_TLYCS                    |NA    |         0|\n|involved_lesswrong                |NA    |         0|\n|involved_GWWC                     |NA    |         0|\n|involved_givewell                 |NA    |         0|\n|involved_friends                  |NA    |         0|\n|involved_online_ea                |NA    |         0|\n|involved_local_EA                 |NA    |         0|\n|friendcount                       |NA    |      1324|\n|donate_2013_c                     |NA    |      1372|\n|income_2013_c                     |NA    |      1376|\n|donate_80K                        |NA    |         0|\n|donate_amf                        |NA    |         0|\n|donate_ace                        |NA    |         0|\n|donate_cea                        |NA    |         0|\n|donate_cfar                       |NA    |         0|\n|donate_dtw                        |NA    |         0|\n|donate_gd                         |NA    |         0|\n|donate_gw                         |NA    |         0|\n|donate_gwwc                       |NA    |         0|\n|donate_thl                        |NA    |         0|\n|donate_leverage                   |NA    |         0|\n|donate_miri                       |NA    |         0|\n|donate_phc                        |NA    |         0|\n|donate_sci                        |NA    |         0|\n|donate_vo                         |NA    |         0|\n|career_path                       |NA    |      1343|\n|age                               |NA    |      1330|\n|gender                            |NA    |      1329|\n|student                           |NA    |         0|\n|country                           |NA    |      1321|\n|city                              |NA    |      1357|\n|religion                          |NA    |      1329|\n|ea_id                             |NA    |      1377|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
  "keywords": ["id", "referrer_url", "heard_ea", "is_ea", "metaethics", "cause_import_poverty", "cause_import_environmentalism", "cause_import_animals", "cause_import_rationality", "cause_import_politics", "cause_import_ai", "cause_import_xrisk", "cause_import_non_ai_far_future", "cause_import_cause_prioritization", "cause_import_meta", "cause_import_other", "diet", "first_heard_EA", "invovled_personal_contact", "involved_80K", "involved_TLYCS", "involved_lesswrong", "involved_GWWC", "involved_givewell", "involved_friends", "involved_online_ea", "involved_local_EA", "friendcount", "donate_2013_c", "income_2013_c", "donate_80K", "donate_amf", "donate_ace", "donate_cea", "donate_cfar", "donate_dtw", "donate_gd", "donate_gw", "donate_gwwc", "donate_thl", "donate_leverage", "donate_miri", "donate_phc", "donate_sci", "donate_vo", "career_path", "age", "gender", "student", "country", "city", "religion", "ea_id"],
  "@context": "http://schema.org/",
  "@type": "Dataset",
  "variableMeasured": [
    {
      "name": "id",
      "@type": "propertyValue"
    },
    {
      "name": "referrer_url",
      "@type": "propertyValue"
    },
    {
      "name": "heard_ea",
      "@type": "propertyValue"
    },
    {
      "name": "is_ea",
      "@type": "propertyValue"
    },
    {
      "name": "metaethics",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_poverty",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_environmentalism",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_animals",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_rationality",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_politics",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_ai",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_xrisk",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_non_ai_far_future",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_cause_prioritization",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_meta",
      "@type": "propertyValue"
    },
    {
      "name": "cause_import_other",
      "@type": "propertyValue"
    },
    {
      "name": "diet",
      "@type": "propertyValue"
    },
    {
      "name": "first_heard_EA",
      "@type": "propertyValue"
    },
    {
      "name": "invovled_personal_contact",
      "@type": "propertyValue"
    },
    {
      "name": "involved_80K",
      "@type": "propertyValue"
    },
    {
      "name": "involved_TLYCS",
      "@type": "propertyValue"
    },
    {
      "name": "involved_lesswrong",
      "@type": "propertyValue"
    },
    {
      "name": "involved_GWWC",
      "@type": "propertyValue"
    },
    {
      "name": "involved_givewell",
      "@type": "propertyValue"
    },
    {
      "name": "involved_friends",
      "@type": "propertyValue"
    },
    {
      "name": "involved_online_ea",
      "@type": "propertyValue"
    },
    {
      "name": "involved_local_EA",
      "@type": "propertyValue"
    },
    {
      "name": "friendcount",
      "@type": "propertyValue"
    },
    {
      "name": "donate_2013_c",
      "@type": "propertyValue"
    },
    {
      "name": "income_2013_c",
      "@type": "propertyValue"
    },
    {
      "name": "donate_80K",
      "@type": "propertyValue"
    },
    {
      "name": "donate_amf",
      "@type": "propertyValue"
    },
    {
      "name": "donate_ace",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cea",
      "@type": "propertyValue"
    },
    {
      "name": "donate_cfar",
      "@type": "propertyValue"
    },
    {
      "name": "donate_dtw",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gd",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gw",
      "@type": "propertyValue"
    },
    {
      "name": "donate_gwwc",
      "@type": "propertyValue"
    },
    {
      "name": "donate_thl",
      "@type": "propertyValue"
    },
    {
      "name": "donate_leverage",
      "@type": "propertyValue"
    },
    {
      "name": "donate_miri",
      "@type": "propertyValue"
    },
    {
      "name": "donate_phc",
      "@type": "propertyValue"
    },
    {
      "name": "donate_sci",
      "@type": "propertyValue"
    },
    {
      "name": "donate_vo",
      "@type": "propertyValue"
    },
    {
      "name": "career_path",
      "@type": "propertyValue"
    },
    {
      "name": "age",
      "@type": "propertyValue"
    },
    {
      "name": "gender",
      "@type": "propertyValue"
    },
    {
      "name": "student",
      "@type": "propertyValue"
    },
    {
      "name": "country",
      "@type": "propertyValue"
    },
    {
      "name": "city",
      "@type": "propertyValue"
    },
    {
      "name": "religion",
      "@type": "propertyValue"
    },
    {
      "name": "ea_id",
      "@type": "propertyValue"
    }
  ]
}`